Introducing a Hybrid Method for Estimating Wind Speed Using Information from Neighboring Stations in Isfahan Province

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Mohammadi Babak; Aghashariatmadari Zahra

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Soil and Water Research Year:2019 | Volume:50 | Issue:1 Page(s): 177-188

Download Full-Text

Persian Verion

View:

356

Download:

Cites:

Information Journal Paper

Title

Introducing a Hybrid Method for Estimating Wind Speed Using Information from Neighboring Stations in Isfahan Province

Author(s)

Mohammadi Babak | Aghashariatmadari Zahra | Issue Writer Certificate

Keywords

Firefly optimization algorithmQ3

Neighboring stationQ1

Hybrid methodQ1

Support vector machineQ1

Abstract

The prediction of wind components including wind speed is one of the important factors, especially in the case of evaporation in a watershed. In this paper, in order to increase the efficiency of Support vector machines (SVM) for predicting wind speed, the SVM model was combined with the Firefly optimization algorithm called hybrid model (HM). In this regard, the wind speed data from synoptic stations of Isfahan province were used to estimate the monthly wind speed values of the unknown Neighboring stations. Then, the efficiency of the SVM and HM models was compared. Finally, the RMSE, MAE, WI, and NS indices were used to evaluate the both models performance efficiency. The results in the evaluation step showed that the hybrid model (HM) with high correlation and lower error values has higher performance efficiency as compared to the SVM model. as Also, the method of using Neighboring stations data as inputs for the predictive models of unknown station is a proper method for estimation of wind speed.

Cites

No record.

References

No record.

Cite

APA: Copy

Mohammadi, Babak, & Aghashariatmadari, Zahra. (2019). Introducing a Hybrid Method for Estimating Wind Speed Using Information from Neighboring Stations in Isfahan Province. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 50(1 ), 177-188. SID. https://sid.ir/paper/225576/en

Vancouver: Copy

Mohammadi Babak, Aghashariatmadari Zahra. Introducing a Hybrid Method for Estimating Wind Speed Using Information from Neighboring Stations in Isfahan Province. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2019;50(1 ):177-188. Available from: https://sid.ir/paper/225576/en

IEEE: Copy

Babak Mohammadi, and Zahra Aghashariatmadari, “Introducing a Hybrid Method for Estimating Wind Speed Using Information from Neighboring Stations in Isfahan Province,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 50, no. 1 , pp. 177–188, 2019, [Online]. Available: https://sid.ir/paper/225576/en

Related Journal Papers